rtdetr_v2_r18vd
The RT-DETRv2 model was proposed in RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer by Wenyu Lv, Yian Zhao, Qinyao Chang, Kui Huang, Guanzhong Wang, Yi Liu. RT-DETRv2 refines RT-DETR by introducing selective multi-scale feature extraction, a discrete sampling operator for broader deployment compatibility, and improved training strategies like dynamic data augmentation and scale-a...
Params
20 M
Context
—
Downloads 30d
210 K
Likes
10
Download history
daily snapshots · 106 days
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Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 0.1 GB | 0.6 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- RtDetrV2ForObjectDetection
- Parameters
- 20 M
- Tensor type
- F32
- Licence
- apache-2.0
- First seen on the Hub
- 2025-01-31
- Training datasets
- coco
- Added to our catalog
- 2026-07-28
Compare with any object-detection model